code: def test_spacy_runtime_model_version_compatibility(
      monkeypatch: MonkeyPatch,
      default_model_storage: ModelStorage,
      default_execution_context: ExecutionContext,
  ):
      def mock_info_return(mock_model_name):
          return {
              "spacy_version": ">=3.4.0,<3.5.0",
              "dummy_keys": "dummy_values",
          }
  
      def mock_spacy_obj_return(*args, **kwargs):
          return MagicMock()
  
      monkeypatch.setattr(spacy, "info", mock_info_return)
      monkeypatch.setattr(spacy, "load", mock_spacy_obj_return)
  
      # Test case that runs model on incompatible spacy runtime.
      spacy.about.__version__ = "3.10"
      with pytest.raises(InvalidModelError):
          _ = SpacyNLP.create(
              {"model": "some_model"},
              default_model_storage,
              Resource("spacy"),
              default_execution_context,
          )
  
      # Test case that runs model on compatible spacy runtime
      spacy.about.__version__ = "3.4.1"
      component = SpacyNLP.create(
          {"model": "some_model"},
          default_model_storage,
          Resource("spacy"),
          default_execution_context,
      )
      assert isinstance(component, SpacyNLP)
  
file_path: rasa/tests/nlu/utils/test_spacy_utils.py
imports: import pytest
  from pytest import MonkeyPatch
  from unittest.mock import MagicMock
  from rasa.engine.graph import ExecutionContext
  from rasa.engine.storage.resource import Resource
  from rasa.engine.storage.storage import ModelStorage
  from rasa.nlu.model import InvalidModelError
  from rasa.nlu.utils.spacy_utils import SpacyNLP
  import spacy
label_desc: Use image node_id 1 for calling a global function with example usage: test_spacy_runtime_model_version_compatibility(monkeypatch, default_model_storage, default_execution_context) and returns: dict, MagicMock